Daniel Dunlavy
Impact in
- Computational Mathematics top 0.1%
- Tensor decomposition and applications
- Signal Processing top 5%
- Blind Source Separation Techniques
Papers in
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- Natural Language Processing Techniques 5
- Topic Modeling 5
- Algorithms and Data Compression 4
- Computational Physics and Python Applications 4
- Advanced Text Analysis Techniques 4
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- Tensor decomposition and applications 12
- Co-authors
- Tamara G. Kolda (7 shared papers)Evrim Acar (4 shared papers)Morten Mørup (2 shared papers)Michael Eldred (1 shared paper)Dianne P. O’Leary (4 shared papers)John M. Conroy (4 shared papers)Judith D. Schlesinger (2 shared papers)Patricia J. Crossno (4 shared papers)
- Journals
- Journal of Computational Biology (1 paper)Information and Inference A Journal of the IMA (1 paper)Electronic Journal of Linear Algebra (1 paper)Journal of Chemometrics (1 paper)Information Processing & Management (1 paper)
- Partner nations
- United StatesTürkiyeDenmark
In The Last Decade
Daniel Dunlavy
32 papers receiving 1.1k citations
Daniel Dunlavy's Hit Papers
Peers
Comparison fields: 5 of 97
- Computational Mathematics 560
- Signal Processing 151
- Statistical and Nonlinear Physics 171
- Computational Mechanics 264
- Artificial Intelligence 338
Countries citing papers authored by Daniel Dunlavy
This map shows the geographic impact of Daniel Dunlavy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Dunlavy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Dunlavy more than expected).
Fields of papers citing papers by Daniel Dunlavy
This network shows the impact of papers produced by Daniel Dunlavy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Dunlavy. The network helps show where Daniel Dunlavy may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Dunlavy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Scalable tensor factorizations for incomplete data Hit paper breakdown → | 2010 | 427 |
| 2 | 2011 | 191 | |
| 3 | 2010 | 94 | |
| 4 | 2009 | 94 | |
| 5 | 2006 | 91 | |
| 6 | 2007 | 60 | |
| 7 | 2016 | 25 | |
| 8 | 2011 | 22 | |
| 9 | 2005 | 21 | |
| 10 | 2005 | 15 | |
| 11 | 2009 | 15 | |
| 12 | Mathematical Challenges in Cybersecurity | 2009 | 14 |
| 13 | 2003 | 14 | |
| 14 | 2019 | 13 | |
| 15 | Performance of a Three-Stage System for Multi-Document Summarization | 2003 | 11 |
| 16 | 2020 | 8 | |
| 17 | From TREC to DUC to TREC Again. | 2003 | 6 |
| 18 | 2012 | 5 | |
| 19 | 2010 | 4 | |
| 20 | TopicView: Understanding Document Relationships Using Latent Dirichlet Allocation Models. | 2011 | 3 |
About Daniel Dunlavy
Daniel Dunlavy is a scholar working on Artificial Intelligence, Computational Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tensor decomposition and applications (12 papers), Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers), Parallel Computing and Optimization Techniques (5 papers), Algorithms and Data Compression (4 papers), Computational Physics and Python Applications (4 papers), Advanced Text Analysis Techniques (4 papers) and Data Visualization and Analytics (3 papers). The work is most often cited by research in Computational Mathematics (560 citations), Signal Processing (151 citations), Statistical and Nonlinear Physics (171 citations), Computational Mechanics (264 citations) and Artificial Intelligence (338 citations). Daniel Dunlavy has collaborated with scholars based in United States, Türkiye and Denmark. Frequent co-authors include Tamara G. Kolda, Evrim Acar, Morten Mørup, Michael Eldred, Dianne P. O’Leary, John M. Conroy, Judith D. Schlesinger, Patricia J. Crossno, Michael M. Wolf and Andrew T. Wilson. Their work appears in journals such as Journal of Computational Biology, Information and Inference A Journal of the IMA, Electronic Journal of Linear Algebra, Journal of Chemometrics and Information Processing & Management.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.